Reversible data hiding exploiting spatial correlation between sub-sampled images

Authors:
Kyung-Su Kim;Min-Jeong Lee;Hae-Yeoun Lee;Heung-Kyu Lee
Affiliations:
School of Electrical Engineering and Computer Science, Division of Computer Science, Korea Advanced Institute of Science and Technology (KAIST), 335 Gwahangno, Yuseong-gu, Daejeon 305-701, South K ...;School of Electrical Engineering and Computer Science, Division of Computer Science, Korea Advanced Institute of Science and Technology (KAIST), 335 Gwahangno, Yuseong-gu, Daejeon 305-701, South K ...;School of Computer and Software Engineering, Kumoh National Institute of Technology, 1, Yanghodong, Gumi, Gyeongbuk, South Korea;School of Electrical Engineering and Computer Science, Division of Computer Science, Korea Advanced Institute of Science and Technology (KAIST), 335 Gwahangno, Yuseong-gu, Daejeon 305-701, South K ...
Venue:
Pattern Recognition
Year:
2009

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Abstract

Reversible data hiding enables host media to be restored from marked media without any loss of host information. Since this reversibility helps to make right decision during image analysis, it is highly desired in quality-sensitive imagery where even the minimal distortion introduced by embedding data is unacceptable. In this paper, we propose a reversible data hiding method that modifies the difference histogram between sub-sampled images. It exploits the high spatial correlation inherent in neighboring pixels to achieve high capacity and imperceptible embedding. On various test images including 16-bit images, we demonstrate the validity of our proposed method by comparing to other existing reversible data hiding algorithms. Experimental results support that our method provides high embedding capacity while keeping the distortions at a low level.